Navigation directions with a familiar location as an intermediate destination

ABSTRACT

To provide personalized data for display on a map, a server device obtains location data for a user and identifies locations that are familiar to the user based on the frequency and recency in which the user visits the locations. The server device then provides the familiar locations in search results/suggestions and annotates the familiar locations with a description of a relationship between the familiar location and the user. The server device also includes the familiar locations as landmarks for performing maneuvers in a set of navigation instructions. Furthermore, the server device provides a familiar location as a frame of reference on a map display when a user selects another location nearby the familiar location. Moreover, the server device includes a familiar location as an intermediate destination when the user request navigation directions to a final destination.

FIELD OF THE DISCLOSURE

The present disclosure relates to displaying personalization ingeographic applications and, more particularly, to identifying familiarlocations to a user and presenting navigation directions, searchresults, or a selected location on a map display using the familiarlocations.

BACKGROUND

The background description provided herein is for the purpose ofgenerally presenting the context of the disclosure. Work of thepresently named inventors, to the extent it is described in thisbackground section, as well as aspects of the description that may nototherwise qualify as prior art at the time of filing, are neitherexpressly nor impliedly admitted as prior art against the presentdisclosure.

Today, digital maps of geographic areas are displayed on computingdevices, such as computers, tablets, and mobile phones via mappingapplications, web browsers, etc. Many mapping applications displaypoints of interest (POIs), such as businesses or other organizations onthe map. Each POI may be displayed using an icon or other indicator ofthe type of POI (e.g., a restaurant symbol for restaurants, a shoppingsymbol for department stores, etc.). Furthermore, the mappingapplications, web browsers, etc. provide geographic search results(e.g., POIs) in response to geographic search queries and present one orseveral of the geographic search results within the digital map using anicon or other indicator.

Additionally, software applications executing in computers, smartphones,etc. or embedded devices generate step-by-step navigation directions.Typically, a user specifies the starting point and the destination, anda software application displays the directions immediately and/or as theuser travels from the starting point and the destination.

These software applications generally utilize indications of distance,street names, building numbers, to generate navigation directions basedon the route. For example, these systems can provide to a driver suchinstructions as “proceed for one-fourth of a mile, then turn right ontoMaple Street.” However, it is difficult for drivers to accurately judgedistance, and it is not always easy for drivers to see street signs.Moreover, there are geographic areas where street and road signage ispoor.

To provide guidance to a driver that is more similar to what anotherperson may say to the driver, it is possible to augment navigationdirections with references to POIs (also referred to herein as“landmarks”) along the route, such as visually salient buildings orbillboards. Additionally, it is also possible to present the landmarksto orient a user within a digital map, or to provide geographic searchresults in response to a geographic search query (e.g., “Bars inZurich”). However, the number of landmarks which are well-known to thegeneral public is limited, and software applications may not always beable to present a landmark when orienting or navigating the user.

SUMMARY

To expand the number of available landmarks to include in navigationdirections or when orienting a user, a personalized map data generationsystem obtains a location history for the user when the user givespermission for the system to obtain location data. The location historymay include information regarding POIs previously visited by the user,such as the location of the POI or landmark, the date and time in whichthe user visited the landmark, the amount of time spent at the landmark,a label for the landmark provided by the user such as “Home,” “Work,”“John's House,” “Favorite Restaurant,” etc.

When the user selects a location or POI presented by the mappingapplication, the personalized map data generation system identifieslandmarks in the user's location history that are near the selectedlocation. One of the landmarks then is selected based on the frequencyand/or recency with which the user visited the landmark. Then themapping application presents the selected landmark with the selectedlocation on a map display to provide the user with a frame of referencefor the selected location.

In another scenario, the user requests navigation directions from astarting location such as the user's current location to a destinationlocation. As a result, the personalized map data generation systemgenerates a set of navigation instructions, where each instructionincludes a maneuver (e.g., “Turn right”) at a particular waypoint alongthe route. For at least some of the instructions, a landmark nearby theparticular waypoint is selected as a frame of reference for the maneuverbased on the frequency and/or recency in which the user visited thelandmark (e.g., “Turn right at the intersection after passing Bob'sHouse”). Then the mapping application presents the set of navigationinstructions to the user referencing the selected landmarks.

In yet another scenario, the user provides a geographic search query ora partial geographic search query to the mapping application.Accordingly, the personalized map data generation system generates a setof search results relevant to the geographic search query and may rankthe set of search results. Moreover, the personalized map datageneration system identifies search results corresponding to POIs in theuser's location history and boosts the rankings of search results basedon the frequency and/or recency in which the user visited thecorresponding POI. For example, a search result for a POI visited by theuser several times where the most recent time was the previous day maybe boosted several spots in the rankings, whereas a search result for aPOI visited once by the user over a month ago may be boosted only a fewspots or, in another implementation or scenario, not at all. Thepersonalized map data generation system also may annotate the searchresults with a description of the relationship between the POI and theuser, such as a description of how frequently the user visits the POI, adescription of the most recent time the user visited the POI, etc. Thenthe mapping application presents the annotated search results to theuser in a ranked order.

In addition to providing turn-by-turn navigation directions withfamiliar landmarks as frames of reference for some of the maneuvers, thepersonalized map data generation system may identify a familiar locationas an intermediate destination in response to a request for navigationdirections to a final destination. The intermediate destination in somecases is disposed not along the route from the starting location to thefinal destination but at some distance X away from the nearest point onthe route. However, the intermediate destination may be a landmark withwhich the user is very familiar and/or to which the user travelled manytimes in the past. In this manner, the personalized map data generationsystem may significantly reduce the amount of navigation instructionsprovided to the user by refraining from sending navigation directions,or providing only sparse navigation directions, until the userapproaches the intermediate destination or a waypoint which the routesto the actual destination and intermediate destination share. At thispoint, the personalized map data generation system may “take over” andprovide a set of navigation instructions from the intermediatedestination or the common waypoint to the final destination. Thus, thepersonalized map data generation system in some cases combines guidancethat references a familiar location and thus feels intuitive to the userwith step-by-step guidance for the remainder of the route.

One example embodiment of the techniques of this disclosure is a methodfor providing a personalized landmark on a digital map to locate ageographic search result. The method includes receiving a selection of apoint of interest within a digital map presented on a portable device ofa user, obtaining a location history for the user, and identifying aplurality of candidate landmarks within a threshold distance of theselected point of interest. The method further includes selecting one ofthe plurality of candidate landmarks based on at least one of (i) afrequency in which the user has visited the candidate landmark or (ii)an amount of time since the user most recently visited the candidatelandmark according to the location history, and causing an indicatorrepresenting the selected landmark and an indicator represented theselected point of interest to be presented within the digital map.

Another example embodiment is a method for providing navigationdirections using personalized landmarks. The method includes receiving arequest for navigation directions for a user of a portable device from astarting location to a destination location, and generating a set ofnavigation instructions to the destination location, each navigationinstruction in the set including a maneuver at a particular location.For at least one navigation instruction in the set, the method includesobtaining a location history for the user, selecting a navigationlandmark within a threshold distance of the particular location for themaneuver, the navigation landmark selected based on at least one of (i)a frequency in which the user has visited the navigation landmark or(ii) an amount of time since the user most recently visited thenavigation landmark according to the location history, and generatingthe navigation instruction referencing the selected navigation landmark.The method further includes causing the set of navigation instructionsto be provided via a user interface of the portable device.

Yet another example embodiment is a method for providing searchsuggestions based on familiarity to a user. The method includesreceiving a geographic search query from a user of a portable device,obtaining a location history for the user, and identifying a set ofsearch results in response to the geographic search query, the set ofsearch results including at least one point of interest that haspreviously been visited by the user according to the location history.The method further includes causing the set of search results to beprovided via a user interface of the portable device, where the set ofsearch results are annotated with a description of a relationshipbetween the point of interest and the user according to the locationhistory.

Another example embodiment is a method for providing navigationdirections using a familiar location to a user as an intermediatedestination. The method includes receiving a request for navigationdirections for a user from a starting location to a final destinationlocation, identifying an intermediate destination location selectedbased on familiarity to the user, and providing a first navigationinstruction directing the user to travel toward the intermediatedestination location. In response to determining that the user isapproaching the intermediate destination location or a particularwaypoint along a route toward the intermediate destination location, themethod includes providing a set of navigation instructions which directthe user to the final destination location.

Yet another example embodiment is a computing device for providingnavigation directions using a familiar location to a user as anintermediate destination, where the computing device includes one ormore processors and a non-transitory computer-readable memory coupled tothe one or more processors and storing thereon instructions. Theinstructions, when executed by the one or more processors, cause thecomputing device to receive a request for navigation directions for auser from a starting location to a final destination location, identifyan intermediate destination location selected based on familiarity tothe user, and provide a first navigation instruction directing the userto travel toward the intermediate destination location. In response todetermining that the user is approaching the intermediate destinationlocation or a particular waypoint along a route toward the intermediatedestination location, the instructions cause the computing device toprovide a set of navigation instructions which direct the user to thefinal destination location.

Another example embodiment is a non-transitory computer-readable mediumstoring instructions for providing navigation directions using afamiliar location to a user as an intermediate destination. Thenon-transitory computer-readable memory is coupled to one or moreprocessors in a computing device and storing thereon instructions. Theinstructions, when executed by the one or more processors, cause the oneor more processors to receive a request for navigation directions for auser from a starting location to a final destination location, identifyan intermediate destination location selected based on familiarity tothe user, and provide a first navigation instruction directing the userto travel toward the intermediate destination location. In response todetermining that the user is approaching the intermediate destinationlocation or a particular waypoint along a route toward the intermediatedestination location, the instructions cause the one or more processorsto provide a set of navigation instructions which direct the user to thefinal destination location.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of an example system in which techniques forgenerating personalized map data can be implemented;

FIG. 2A is an example data table of user location data which thepersonalized map data generation system of FIG. 1 can utilize to scorelandmarks for determining which landmarks to present on a digital map;

FIG. 2B is an example data table which the personalized map datageneration system of FIG. 1 can utilize to rank the landmarks based oncorresponding scores to determine which landmarks to present on thedigital map;

FIG. 3 is an example map display including a location selected by a useralong with a landmark familiar to the user for providing a frame ofreference for the selected location;

FIG. 4 is an example search results display including search suggestionsannotated with a description of the relationship between the searchsuggestion and the user;

FIG. 5A is an example navigation display including a route to adestination with familiar landmarks presented along the route;

FIG. 5B is another example navigation display including a maneuver witha familiar landmark as a frame of reference for the maneuver;

FIG. 6A is yet another navigation display provided in response to arequest for navigation directions from the user's current location to afinal destination, and including a first instruction to navigate to anintermediate destination along with a route from the intermediatedestination to the final destination;

FIG. 6B is a detailed navigation display including a maneuver along theroute presented in FIG. 6A from the intermediate destination to thefinal destination;

FIG. 6C is another detailed navigation display including a maneuver froma common waypoint along the routes to the intermediate destination andto the final destination presented in FIG. 6A;

FIG. 7 is a flow diagram of an example method for providing apersonalized landmark on a digital map to locate a geographic searchresult, which can be implemented in a computing device that operates in,or cooperates with, a personalized map data generation system;

FIG. 8 is a flow diagram of an example method for providing navigationdirections using personalized landmarks, which can be implemented in acomputing device that operates in, or cooperates with, a personalizedmap data generation system;

FIG. 9 is a flow diagram of an example method for providing searchsuggestions based on familiarity to a user, which can be implemented ina computing device that operates in, or cooperates with, a personalizedmap data generation system; and

FIG. 10 is a flow diagram of an example method for providing navigationdirections using a familiar location to a user as an intermediatedestination, which can be implemented in a computing device thatoperates in, or cooperates with, a personalized map data generationsystem.

DETAILED DESCRIPTION

Overview

The present disclosure describes a system for generating navigationdirections more efficiently by referencing one or more intermediatelocations selected based on familiarity to the user or another suitablecriterion.

The subject matter described in this specification can be implemented inparticular embodiments so as to realize one or more of the followingadvantages. A user is likely to know the directions to particularlocations with which she is already familiar. Accordingly, the methodsand systems described herein direct the user to travel toward anintermediate destination location familiar to the user before directingthe user to the final destination location. By making use of anintermediate destination location that is likely to be known to theuser, the number of required navigation instructions can be reduced,thereby reducing computing and transmission overhead and thus improvingthe efficiency of the system. Furthermore, the navigation instructionscan be personalized for the user, thereby making these instructions moreeffective for directing the user to the final destination location.

The intermediate destination location need not be located along a directroute toward the final destination location. Furthermore, navigationdirections need not be provided all the way to the intermediatedestination location and the user's portable device need not travel allthe way to the intermediate destination location. Instead, the user maybe directed to begin travelling toward the intermediate destinationlocation before being routed to the final destination location inresponse to the user's portable device reaching a particular waypoint orapproaching the intermediate destination location. This increases thenumber of familiar locations that may be utilized as intermediatedestination locations as the familiar locations need not be locatedalong the most direct route to the final destination location.

Additionally, the term “intermediate destination” discussed herein neednot refer to a location that is well known to the general population,but instead may refer to a location that is deemed to be known to theuser in view of the user's location history (e.g., due to the userpreviously visiting the location).

Example Hardware and Software Components

Referring to FIG. 1 , an example communication system 100 in which apersonalized map data generation system can be implemented includes aclient computing device 10 configured to execute a geographicapplication 22, which also can be referred to as “mapping application22.” Depending on the implementation, the application 22 can display aninteractive digital map, request and receive routing data to providedriving, walking, or other navigation directions, provide variousgeolocated content, etc. The client computing device 10 may be operatedby a user displaying a digital map while navigating to variouslocations.

In addition to the client computing device 10, the communication system100 includes a server device 60 configured to identify landmarksfamiliar to the user based on the user's location history and providepersonalized map data to the client computing device 10, such asnavigation directions including familiar landmarks as frames ofreference for maneuvers or as an intermediate destination on the way toa final destination, a map display of a selected location including anearby familiar landmark, search results/suggestions including familiarlandmarks, etc. The server device 60 can be communicatively coupled to adatabase 80 that stores, in an example implementation, location data forthe user. The location data is described in more detail below withreference to FIGS. 2A and 2B.

More generally, the server device 60 can communicate with one or severaldatabases that store any type of suitable geospatial information orinformation that can be linked to a geographic context. Thecommunication system 100 also can include a navigation data server 34that provides driving, walking, biking, or public transit directions,for example. Further, the communication system 100 can include a mapdata server 50 that provides map data to the server device 60 forgenerating a map display. The devices operating in the communicationsystem 100 can be interconnected via a communication network 30.

In various implementations, the client computing device 10 may be asmartphone or a tablet computer. The client computing device 10 mayinclude a memory 20, one or more processors (CPUs) 16, a graphicsprocessing unit (GPU) 12, an I/O module 14, a user interface (UI) 32,and one or several sensors 19 including a Global Positioning Service(GPS) module. The memory 20 can be a non-transitory memory and caninclude one or several suitable memory modules, such as random accessmemory (RAM), read-only memory (ROM), flash memory, other types ofpersistent memory, etc. The I/O module 14 may be a touch screen, forexample. In various implementations, the client computing device 10 caninclude fewer components than illustrated in FIG. 1 or conversely,additional components. In other embodiments, the client computing device10 may be any suitable portable or non-portable computing device. Forexample, the client computing device 10 may be a laptop computer, adesktop computer, a wearable device such as a smart watch or smartglasses, etc.

The memory 20 stores an operating system (OS) 26, which can be any typeof suitable mobile or general-purpose operating system. The OS 26 caninclude application programming interface (API) functions that allowapplications to retrieve sensor readings. For example, a softwareapplication configured to execute on the computing device 10 can includeinstructions that invoke an OS 26 API for retrieving a current locationof the client computing device 10 at that instant. The API can alsoreturn a quantitative indication of how certain the API is of theestimate (e.g., as a percentage).

The memory 20 also stores a mapping application 22, which is configuredto generate interactive digital maps and/or perform other geographicfunctions, as indicated above. The mapping application 22 can receivemap data in a raster (e.g., bitmap) or non-raster (e.g., vectorgraphics) format from the map data server 50 and present the map datavia the personalized data display 24. In some cases, the map data can beorganized into layers, such as a basic layer depicting roads, streets,natural formations, etc., a traffic layer depicting current trafficconditions, a weather layer depicting current weather conditions, anavigation layer depicting a path to reach a destination, etc. Themapping application 22 also can display driving, walking, or transitdirections, and in general provide functions related to geography,geolocation, navigation, etc. via the personalized data display 24.

It is noted that although FIG. 1 illustrates the mapping application 22as a standalone application, the functionality of the mappingapplication 22 also can be provided in the form of an online serviceaccessible via a web browser executing on the client computing device10, as a plug-in or extension for another software application executingon the client computing device 10, etc. The mapping application 22generally can be provided in different versions for different respectiveoperating systems. For example, the maker of the client computing device10 can provide a Software Development Kit (SDK) including the mappingapplication 22 for the Android™ platform, another SDK for the iOS™platform, etc.

In some implementations, the server device 60 includes one or moreprocessors 62 and a memory 64. The memory 64 may be tangible,non-transitory memory and may include any types of suitable memorymodules, including random access memory (RAM), read-only memory (ROM),flash memory, other types of persistent memory, etc. The memory 64stores instructions executable on the processors 62 that make up apersonalized map data generator 68, which can identify candidatelandmarks, rank and score the candidate landmarks based on the frequencyand/or recency in which the user visited the candidate landmark, andselect one or several of the highest ranking candidate landmarks toinclude in a map display and/or navigation directions presented on themap display. The personalized map data generator may also boost therankings of search results based on the frequency and/or recency inwhich the user visited the POIs corresponding to the search results. Thepersonalized map data generator may then provide map data, navigationdata, and/or search results including the familiar landmarks for displayby the personalized data display 24 of the client computing device 10.

The personalized map data generator 68 and the personalized data display24 can operate as components of a personalized map data generationsystem. Alternatively, the personalized map data generation system caninclude only server-side components and simply provide the personalizeddata display 24 with instructions to display personalized map data. Inother words, personalized map data generation techniques in theseembodiments can be implemented transparently to the personalized datadisplay 24. As another alternative, the entire functionality of thepersonalized map data generator 68 can be implemented in thepersonalized data display 24.

For simplicity, FIG. 1 illustrates the server device 60 as only oneinstance of a server. However, the server device 60 according to someimplementations includes a group of one or more server devices, eachequipped with one or more processors and capable of operatingindependently of the other server devices. Server devices operating insuch a group can process requests from the client computing device 10individually (e.g., based on availability), in a distributed mannerwhere one operation associated with processing a request is performed onone server device while another operation associated with processing thesame request is performed on another server device, or according to anyother suitable technique. For the purposes of this discussion, the term“server device” may refer to an individual server device or to a groupof two or more server devices.

In operation, the personalized data display 24 operating in the clientcomputing device 10 receives and transmits data to the server device 60.Thus, in one example, the client computing device 10 may transmitlocation data to the personalized map data generator 68 (implemented inthe server device 60) when the user selects a user control providingpermission to the mapping application 22 to share the location data. Thelocation data may include the name or address of a location visited by auser according to a check-in at the location or positioning data fromthe sensors 19, the date and time at which the user visited thelocation, the amount of time in which the user visited the location,and/or a label for the location provided by the user, such as “Bob'sHouse” for 123 Hauptstrasse in Zurich, Switzerland. In some embodiments,the personalized data display 24 provides location data when the clientcomputing device 10 is at a location for more than a threshold timeperiod (e.g., 1 minute). In this manner, the personalized data display24 does not identify locations that the user passes by on her way to adestination.

In another example, the client computing device 10 may transmitcommunications to the personalized map data generator 68 requestingnavigation directions, map data for a selected location, searchresults/suggestions, etc. Accordingly, the personalized map datagenerator 68 may communicate with the navigation data server 34, the mapdata server 50, and/or any other suitable server to retrieve therequested navigation directions, map data for the selected location, orsearch results/suggestions. Additionally, the personalized map datagenerator 68 obtains location data for the user of the client computingdevice 10 for example, from a location data table 200 stored in thedatabase 80 as shown in FIG. 2A. The location data 200 may include auser identifier (user ID) 202 for a user of a client computing device10. The location data 200 may also include the name or address 204 of alocation visited by a user for more than a threshold amount of time(e.g., 1 minute). Furthermore, the location data 200 may include thedate 206 and time 208 of the visit, the amount of time spent at thelocation 210, and a location label 212 indicating a name provided by theuser for the location, such as “Parents' House,” “Work,” “FavoriteRestaurant,” etc. For example, the first entry of the data table 200indicates that the user visited the Starbucks® 204 on 789 Hauptstrassein Zurich at 8 p.m. on Jul. 11, 2018 for 5 minutes and did not provide alabel for the Starbucks®.

The personalized map data generator 68 assigns one or more scores toeach location 204 in the location data table 200 including a frequencyscore 258, a recency score 260, and an overall score 262 as shown in thedata table 250 depicted in FIG. 2B. The frequency score 258 may bedetermined based on the total number of times the user has visited thelocation, the number of times the user has visited the location within athreshold time period (e.g., the previous month), the average rate inwhich the user visits the location (e.g., three times per month, twice ayear, etc.), or in any other suitable manner. For example, the locationdata table 200 indicates the user has visited the Starbucks® on 789Hauptstrasse in Zurich twice since Jun. 12, 2018. In some embodiments,the personalized map data generator 68 may factor the amount of timespent at the location 210 into the frequency score 258, because the usermay be more familiar with a location that she spent significant time incompared with a location she left quickly. For example, visits for lessthan a threshold amount of time (e.g., 5 minutes) may not be included inthe number of times the user has visited the location. In anotherexample, the frequency score 258 may be determined based on a weightednumber of times the user has visited the location, where visits areassigned higher weights the longer the user stays at the location.

The recency score 260 may be determined based on the amount of timesince the user last visited the location or the amount of time since theuser visited the location at a rate above a frequency threshold. Forexample, if the user previously visited the location once a week forseveral months but now only visits the location once a year, the recencyscore 260 may be based on the amount of time since the user last visitedthe location once a week. In some embodiments, the personalized map datagenerator 68 may factor the amount of time spent at the location 210into the recency score 260. For example, visits for less than athreshold amount of time (e.g., 5 minutes) may not be included as themost recent time in which the user has visited the location.

The overall score 262 may be determined based on any suitablecombination of the frequency 258 and recency scores 260. In someembodiments, the personalized map data generator 68 aggregates thefrequency 258 and recency scores 260 to generate the overall score 262,averages the frequency 258 and recency scores 260 to generate theoverall score 262, or multiplies the frequency 258 and recency scores260 to generate the overall score 262. In other embodiments, thepersonalized map data generator 68 assigns weights to each of thefrequency 258 and recency scores 260 and calculates a weightedcombination of the frequency 258 and recency scores 260 to generate theoverall score 262. For example, the personalized map data generator 68may assign a weight of 0.6 to the frequency score 258, a weight of 0.4to the recency score 260, and may calculate a weighted average of thescores.

In response to receiving a request for navigation directions and asubsequent set of navigation instructions including maneuvers at variouswaypoints along a route from the navigation data server 34, thepersonalized map data generator 68 identifies locations 204 in thelocation data table 200 within a threshold distance of each waypoint ascandidate landmarks. Then the personalized map data generator 68 obtainsthe overall scores 262 for the candidate landmarks and ranks thecandidate landmarks according to the overall scores 262. In someembodiments, when a candidate landmark is ranked above a thresholdranking or has a score above a threshold score, the personalized mapdata generator 68 selects the candidate landmark to include in thenavigation instruction for the corresponding maneuver. For example, whenthe maneuver is to turn right at a waypoint within a threshold distanceof Bill's House, and Bill's House has an overall score above a thresholdscore, the personalized map data generator 68 generates the instruction,“Turn right at the intersection past Bill's House,” or “Turn right atthe intersection before Bill's House.” In other embodiments, thepersonalized map data generator 68 identifies candidate landmarks withina threshold distance of each waypoint, ranks the candidate landmarkscorresponding to a particular waypoint, and selects the highest rankingcandidate landmark for the particular waypoint to include in thenavigation instruction.

In some scenarios, the personalized map data generator 68 only selectsthe highest ranking candidate landmark for the particular waypoint toinclude in the navigation instruction when the highest ranking candidatelandmark has a minimum score above a threshold score. Otherwise, thepersonalized map data generator 68 uses the default navigationinstruction, such as “Turn right onto Main St.” In other scenarios, thepersonalized map data generator 68 selects a maximum threshold number oflandmarks to include in the navigation instructions (e.g., 3).Accordingly, the personalized map data generator 68 selects the highestranking candidate landmarks for different waypoints not to exceed themaximum threshold number. For example, if the maximum threshold numberis three and the second and third ranked candidate landmarks are for thesame waypoint, the personalized map data generator 68 selects the firstand second ranked candidate landmarks and the fourth ranked candidatelandmark to include in the navigation instructions. In any event, thepersonalized map data generator 68 provides the set of navigationinstructions including the selected landmarks to the user's clientcomputing device 10 for presentation via the personalized data display24.

In response to receiving a selection of a location and subsequent mapdata for the selected location from the map data server 50, thepersonalized map data generator 68 identifies locations 204 in thelocation data table 200 within a threshold distance of the selectedlocation as candidate landmarks. Then the personalized map datagenerator 68 obtains the overall scores 262 for the candidate landmarksand ranks the candidate landmarks according to the overall scores 262.The personalized map data generator 68 selects the highest rankingcandidate landmark, and provides the map data including an indication ofthe selected location and an indication of the selected landmark to theuser's client computing device 10 for presentation via the personalizeddata display 24. In response, the personalized data display 24 presentsa map display of a geographic area including the selected location andthe selected landmark along with indications of the selected locationand the selected landmark, such as pins or other icons representing theselected location and the selected landmark. In some embodiments, thepersonalized map data generator 68 generates a description of therelationship between the selected landmark and the user, such as adescription of the frequency in which the user visited the landmark(e.g., “You come here often”), or a description of the recency in whichthe user visited the landmark (e.g., “You were here last week”). Thepersonalized map data generator 68 then causes the map display to beannotated with the description of the relationship between the selectedlandmark and the user.

In response to receiving a geographic search query and subsequent searchresults along with scores/rankings for the search results from the mapdata server 50 in response to the geographic search query, thepersonalized map data generator 68 identifies locations 204 in thelocation data table 200 that are included in the search results. Thenthe personalized map data generator 68 annotates the search results forlocations included in the user's location history with a description ofthe relationship between the location and the user, such as adescription of the frequency in which the user visited the location(e.g., “You come here often”), or a description of the recency in whichthe user visited the location (e.g., “You were here last week”).Additionally, in some embodiments, the personalized map data generator68 adjusts the scoring/ranking of the search results for example, byboosting the rankings and/or increasing scores for search results forlocations that have previously been visited by the user.

More specifically, the personalized map data generator 68 may obtainrelevancy scores for each of the search results generated by the mapdata server 50. In addition to the relevancy scores, the personalizedmap data generator 68 obtains frequency scores 258, recency scores 260,and/or overall scores 262 from the data table 250 depicted in FIG. 2Bfor locations previously visited by the user. For locations that havenot been previously visited by the user, the personalized map datagenerator 68 may assign a default overall score of 0 to the locations oranother default score. In any event, for each search result, thepersonalized map data generator 68 combines the relevancy score, thefrequency score 258, and the recency score 260 to generate a boostedsearch result score. The personalized map data generator 68 thenre-ranks the search results according to the boosted search resultscores, and provides the re-ranked search results along with respectiveannotations to the user's client computing device 10 for presentationvia the personalized data display 24.

In another embodiment, in response to receiving a request for navigationdirections from a starting location (e.g., the user's current location)to a final destination and a subsequent set of navigation instructionsincluding maneuvers at various waypoints along a route from thenavigation data server 34, the personalized map data generator 68identifies locations 204 in the location data table 200 within athreshold distance of the final destination as candidate intermediatedestinations. The personalized map data generator 68 may also identifylocations 204 in the location data table 200 within a threshold distanceof each waypoint as candidate intermediate destinations. Furthermore,the personalized map data generator 68 may identify locations 204 ascandidate intermediate destinations having a second route from thestarting location to the candidate intermediate destination thatintersects with a first route from the starting location to the finaldestination. More specifically, the candidate intermediate destinationsmay include locations 204 having a common waypoint along the secondroute from the starting location to the candidate intermediatedestination with one of the waypoints along the first route from thestarting location to the final destination.

In some embodiments, the personalized map data generator 68 selects acandidate intermediate destination when the frequency in which the userhas visited the candidate intermediate destination location is greaterthan a threshold frequency or the amount of time since the user mostrecently visited the candidate intermediate destination location is lessthan a threshold amount of time.

In other embodiments, the personalized map data generator 68 obtains theoverall scores 262 for the candidate intermediate destinations and ranksthe candidate intermediate destinations according to the overall scores262. In yet other embodiments, the personalized map data generator 68obtains the frequency 258 and recency 260 scores for the candidateintermediate destinations. The personalized map data generator 68 alsoassigns a distance score to each candidate intermediate destinationbased on the distance from the candidate intermediate destination to thefinal destination, the distance to the final destination from the commonwaypoint along the route to the candidate intermediate destination,and/or a distance to the candidate intermediate destination from thenearest waypoint along the route from the starting location to the finaldestination.

In some scenarios, the distance score may be inversely related to thedistance to the final destination, such that the distance scoreincreases as the distance to the final destination decreases. Also insome scenarios, the distance scores may be tiered such that distancescores based on the distance from the candidate intermediate destinationto the final destination may be placed in a first tier. Distance scoresbased on the distance to the final destination from the common waypointalong the route to the candidate intermediate destination may be placedin a second tier. Furthermore, distance scores based on the distance tothe candidate intermediate destination from the nearest waypoint alongthe route from the starting location to the final destination may beplaced in a third tier. The first tier distance scores may each behigher than the second tier distance scores, the second tier distancescores may each be higher than the third tier distance scores, and soon.

In any event, the personalized map data generator 68 combines thefrequency 258, recency 260, and distance scores in any suitable mannerto generate an intermediate destination score. Then the personalized mapdata generator 68 ranks the candidate intermediate destinationsaccording to the intermediate destination score.

In some embodiments, the personalized map data generator 68 aggregatesthe frequency 258, recency 260, and distance scores to generate theintermediate destination score, averages the frequency 258, recency 260,and distance scores to generate the intermediate destination score, ormultiplies the frequency 258, recency 260, and distance scores togenerate the intermediate destination score. In other embodiments, thepersonalized map data generator 68 assigns weights to each of thefrequency 258, recency 260, and distance scores and calculates aweighted combination of the frequency 258, recency 260, and distancescores to generate the intermediate destination score. For example, thepersonalized map data generator 68 may assign a weight of 0.4 to thefrequency score 258, a weight of 0.4 to the recency score 260, and aweight of 0.2 to the distance score and may calculate a weighted averageof the scores.

In any event, the personalized map data generator 68 selects the highestranking candidate intermediate destination, and does not provideturn-by-turn navigation instructions from the starting location to theselected intermediate destination. Instead, the personalized map datagenerator 68 provides a first navigation instruction for the user totravel to the selected intermediate destination to the user's clientcomputing device 10 for presentation via the personalized data display24. The personalized map data generator 68 also may obtain navigationdirections to the final destination from the selected intermediatedestination or from a waypoint along the route to the selectedintermediate destination that is in common with a waypoint along theroute to the final destination. Then the personalized map data generator68 provides the navigation directions to the final destination to theuser's client computing device 10. In turn, the personalized datadisplay 24 presents the navigation directions to the final destinationin response to determining, via the sensors 19, that the clientcomputing device 10 is approaching the selected intermediate destinationor the common waypoint along the route to the selected intermediatedestination.

Example Location Display with Familiar Landmark as Frame of Reference

As described above, a user may select a location in the mappingapplication 22 operating on the client computing device 10. For example,the user may touch-select a location presented on the map display by thepersonalized data display 24, may touch-select a search suggestion orsearch result presented by the mapping application 22, may input theaddress or name of a particular location via user controls at themapping application 22, or may select the location in any other suitablemanner. The personalized data display 24 may then provide the selectedlocation to the server device 60 with a request for map data for ageographic area surrounding the location. In response, the server device60 generates the map data, and selects a familiar landmark within athreshold distance of the selected location to be presented as a frameof reference for the selected location to orient the user within the mapdisplay. Then the server device 60 provides the map data, the selectedlandmark, and information about the selected landmark such as adescription of the relationship between the selected landmark and theuser to the client computing device 10 to be presented by thepersonalized data display 24. FIG. 3 illustrates an example map display300 including a location 302 selected by a user, RiffraffKino/Bar/Bistro. The selected location 302 is presented with anindicator such as a pin or may be presented with any other suitableicon. In the example map display 300, the location 302 is selected byentering the name of the location, Riffraff Kino/Bar/Bistro, into asearch bar. However, the location 302 may be selected in any othersuitable manner, such as by touch-selecting a location on the mapdisplay 300.

The example map display 300 also includes a landmark 304 familiar to theuser, The International Beer Bar, with an indicator such as a pin orother icon. Moreover, the map display 300 includes an annotation 306describing the relationship between the familiar landmark 304 and theuser, “You come here often.” In some embodiments, the map data for thegeographic area surrounding the selected location 302, the familiarlandmark 304, and the annotation are provided to the client computingdevice 10 from the server device, and more specifically the personalizedmap data generator 68. For example, in another map display (not shown),the mapping application 22 prompts the user with a request to sharelocation data, and a user control for selecting whether or not to sharethe location data. If the user selects the user control to sharelocation data, the personalized map data generator 68 receives locationdata from the client computing device 10, as described above.

In response to the request for map data for a geographic areasurrounding the selected location 302, the personalized map datagenerator 68 identifies locations in the location data that are within athreshold distance of the selected location 302 (e.g., 50 m, 100 m, 200m, 0.5 km, 1 km, etc.) as candidate landmarks. Then the personalized mapdata generator 68 obtains the overall scores 262 for the candidatelandmarks and ranks the candidate landmarks according to the overallscores 262. The personalized map data generator 68 selects the highestranking candidate landmark and generates a description of therelationship between the selected landmark and the user. For example,when the user has visited the selected landmark at least a thresholdnumber of times, the personalized map data generator 68 generates thedescription, “You come here often.” When the user last visited theselected landmark within a threshold number of days, the personalizedmap data generator 68 generates the description, “You were here X daysago,” or “You were here last week.” The personalized data display 24then presents the map display 300 using the map data, the selectedlocation 302, the familiar landmark 304, and the annotation 306. In thismanner, the user may view the map display 300 and have at least anunderstanding of the area that includes the selected location based onthe nearby familiar landmark. In some embodiments, the personalized mapdata generator 68 provides the location label 212 (e.g., “Home,” “Work,”“Bob's House”) for the selected landmark to the personalized datadisplay 24 rather than the location name 204, and the map display 300 ispresented with the location label 212.

Example Search Results Display with Annotated Results for FamiliarLocations

In addition to presenting personalized map data with selected locations,the personalized map data generation system presents a search resultsdisplay 400 as shown in FIG. 4 with an annotated result 402corresponding to a familiar location, “Café Henrici.” The rankings ofthe annotated results 402 may also be boosted based on familiarity. Asshown in FIG. 4 , the search results/suggestions are generated inresponse to a geographic search query, café, which may be a partialgeographic search query. For example, the personalized data display 24may receive the user input, “café,” and provide the user input to theserver device 60. Accordingly, the server device 60 communicates withthe map data server 50 or another suitable server to retrieve geographicsearch results relevant to the geographic search query. In someembodiments, each of the retrieved geographic search results are withina threshold distance of the user's current location or within athreshold distance of the geographic area presented on the map displayof the user's client computing device 10.

In any event, the server device 60 may obtain the geographic searchresults in a ranked order along with relevancy scores for each of thegeographic search results. In the search results display 400, the searchresults include: Café des Musees, Café Henrici, Café Grumpy, CaféBistrot, Café de Paris, Café De La Paix, and Café dolce amaro. Thepersonalized map data generator 68 then identifies locations 204 fromthe user's location history that are included in the search results,such as Café Henrici. Then the personalized map data generator 68annotates the search results for locations included in the user'slocation history with a description of the relationship between thelocation and the user, such as “You were here last week” 404. In someembodiments, the personalized map data generator 68 adjusts thescoring/ranking of the search results for example, by boosting therankings of search results for locations that have previously beenvisited by the user. For example, while Café Henrici is ranked second inthe search results display 400, the initial rankings based on relevancymay rank Café Henrici fourth. However, based on the overall familiarityscore 262 for Café Henrici and the relevancy score, the personalized mapdata generator 68 boosts Café Henrici up to second in the rankings. Insome embodiments, for a search result included in the user's locationhistory, the personalized map data generator 68 may include the locationlabel 212 (e.g., “Home,” “Work,” “Bob's House”) provided by the user inthe search results rather than the name of the location 204. There-ranked search results along with respective annotations are thentransmitted to the user's client computing device 10, and thepersonalized data display 24 presents the search results display 400 ona user interface 32 of the client computing device 10.

Example Navigation Directions with Familiar Landmarks

Furthermore, personalized map data is provided in navigation directionsto guide the user with familiar landmarks. Using personalized map dataalso expands the dataset of landmarks to include those that are notwell-known to the general public, but are specifically known to theuser. This may include houses or apartment buildings of family membersor close friends that the user frequently visits, office buildings ofthe user's current place of business or office buildings at which theuser was previously employed, or other POIs familiar to the user, suchas local businesses, bars, restaurants, etc. FIG. 5A illustrates anexample navigation display 500 including a route 502 from the user'scurrent location to a destination, “Home.” The navigation display 500may present a set of turn-by-turn navigation instructions each having amaneuver at a particular waypoint. For at least some of the maneuvers,the navigation display 500 includes a familiar landmark in thenavigation instruction, such as “Haus Hiltl” 504 where the userfrequently eats.

For example, the personalized data display 24 receives a request fornavigation directions from a starting location (e.g., the user's currentlocation) to a destination location (e.g., “Home”) based on user inputat the navigation display 500. The personalized data display 24 thentransmits the request to the server device 60, which in turn, mayforward the request to the navigation data server 34. In response toreceiving a set of navigation instructions from the navigation dataserver 34, the personalized map data generator 68 replaces defaultnavigation instructions with navigation instructions that includelandmarks familiar to the user.

For example, as mentioned above, the personalized map data generator 68identifies locations 204 in the location data table 200 as candidatelandmarks that are within a threshold distance of each waypoint (e.g.,within a threshold distance of an intersection for a maneuver) in theset of navigation instructions. Then the personalized map data generator68 obtains the overall scores 262 for the candidate landmarks and ranksthe candidate landmarks according to the overall scores 262. In someembodiments, when a candidate landmark is ranked above a thresholdranking or has a score above a threshold score, the personalized mapdata generator 68 selects the candidate landmark to include in thenavigation instruction for the corresponding maneuver. For example, whenthe maneuver is to turn right at a waypoint within a threshold distanceof Haus Hiltl, and Haus Hiltl has an overall score above a thresholdscore, the personalized map data generator 68 generates the instruction,“Turn right at the intersection past Haus Hiltl,” or “Turn right at theintersection before Haus Hiltl.” In some embodiments, the navigationinstruction may include the location label 212 (e.g., “Home,” “Work,”“Bob's House”) provided by the user rather than the name of the location204. The set of personalized navigation instructions are then providedto the user's client computing device 10, and the personalized datadisplay 24 presents the navigation display 500 on a user interface 32 ofthe client computing device 10.

FIG. 5B illustrates a detailed display 550 of a navigation instruction552 presented as the user approaches the waypoint for the correspondingmaneuver. As the user approaches Karl-Schmid Street, the personalizeddata display 24 presents a navigation instruction 552 to “Turn leftafter passing Akademischer Sportverband Zurich.” As the user is veryfamiliar with this sports academy based on her location history, she islikely to know when she has passed Akademischer Sportverband Zurich andwhere to turn left at the subsequent intersection. This may be morehelpful than instructing the user to “Turn left onto Karl-SchmidStreet,” which may not have a visible street sign or which the user isunfamiliar with.

Example Navigation Directions with Familiar Landmark as IntermediateDestination

In addition to including familiar landmarks in turn-by-turn navigationinstructions, the personalized map data generator 68 also identifies afamiliar landmark as an intermediate destination on the way to a finaldestination that is located away from the route from the startinglocation to the final destination. In this manner, the user is directedto travel to a familiar landmark which may get the user most of the wayto the final destination with a single instruction. Then when the userapproaches the intermediate destination or a waypoint along the way tothe intermediate destination that is also a waypoint on the route to thefinal destination, the personalized map data generator 68 provides a setof navigation instructions to the final destination presented by thepersonalized data display 24 on the user's client computing device 10.This may reduce the number of navigation instructions that are providedto the user, and may allow the user to travel to an intermediatedestination she is familiar with before additional guidance becomesnecessary.

In an exemplary scenario, John requests navigation directions from hiscurrent location to University Hospital Zurich Foundation via themapping application 22 of his client computing device 10. As shown inthe example navigation display 600 of FIG. 6A, John's current location602 is several kilometers north of University Hospital Zurich Foundation604. The personalized data display 24 then transmits to the serverdevice 60 the request for navigation directions from John's currentlocation 602 to University Hospital Zurich Foundation 604. Accordingly,the personalized map data generator 68 may forward the request to thenavigation data server 34, and may receive a set of navigationinstructions from John's current location 602 to University HospitalZurich Foundation 604, where each navigation instruction includes amaneuver at a corresponding waypoint.

Then the personalized map data generator 68 identifies locations in theuser's location history as candidate intermediate destinations that arewithin a threshold distance of the University Hospital Zurich Foundation604, within a threshold distance of one of the waypoints on the routefrom John's current location 602 to University Hospital ZurichFoundation 604, or where there is a common waypoint along a second routefrom the John's current location 602 to the candidate intermediatedestination with one of the waypoints along the first route from John'scurrent location 602 to University Hospital Zurich Foundation 604. Insome embodiments, the candidate intermediate destinations are rankedbased on their overall scores 262 from the data table 250 as shown inFIG. 2B. In other embodiments, the personalized map data generator 68obtains the frequency 258 and recency 260 scores for the candidateintermediate destinations from the data table 250 as shown in FIG. 2B,and assigns a distance score to each candidate intermediate destination.The distance score may be based on the distance from the candidateintermediate destination to University Hospital Zurich Foundation 604,the distance to University Hospital Zurich Foundation 604 from thecommon waypoint along the route to the candidate intermediatedestination, and/or a distance to the candidate intermediate destinationfrom the nearest waypoint along the route from John's current location602 to University Hospital Zurich Foundation 604.

In any event, the personalized map data generator 68 combines thefrequency 258, recency 260, and distance scores in any suitable mannerto generate an intermediate destination score. Then the personalized mapdata generator 68 ranks the candidate intermediate destinationsaccording to the intermediate destination scores and selects the highestranking candidate intermediate destination as the intermediatedestination. In this exemplary scenario, the personalized map datagenerator 68 selects Haus Hiltl 606 as the intermediate destination. Asshown in FIG. 6A, Haus Hiltl 606, like University Hospital ZurichFoundation 604, is south of John's current location 602, and is closerto University Hospital Zurich Foundation 604 than John's currentlocation 602. However, Haus Hiltl 606 is not on the route generated bythe navigation data server 34 from John's current location 602 toUniversity Hospital Zurich Foundation 604.

The personalized map data generator 68 then provides a first navigationinstruction as a single instruction to travel toward Haus Hiltl 606 tothe user's client computing device 10 for presentation via thepersonalized data display 24. In some embodiments, the first navigationinstruction may include the location label 212 (e.g., “Home,” “Work,”“Bob's House”) provided by the user for the intermediate destinationrather than the name of the location 204. The personalized map datagenerator 68 also provides navigation directions to the user's clientcomputing device 10 to University Hospital Zurich Foundation 604 fromHaus Hiltl 606 or from a waypoint along the route to Haus Hiltl 606 thatis in common with a waypoint along the route to University HospitalZurich Foundation 604. Accordingly, the personalized data display 24presents the first navigation instruction 610 in the navigation display600. The personalized data display 24 also presents a highlightedrepresentation of a route 612 from Haus Hiltl 606 to University HospitalZurich Foundation 604. Because Haus Hiltl 606 is a familiar location toJohn, he can travel to Haus Hiltl 606 without any additionalinstructions, and as he approaches Haus Hiltl 606 or a common waypointon the route to Haus Hiltl 606 and to University Hospital ZurichFoundation 604 (e.g., an exit off route 17), the personalized datadisplay 24 may present turn-by-turn navigation instructions toUniversity Hospital Zurich Foundation 604.

As shown in the navigation display 600, both a first route from John'scurrent location 602 to Haus Hiltl 606 and a second route from John'scurrent location 602 to University Hospital Zurich Foundation 604 appearto have a common waypoint at one of the exits off route 17. On thesecond route to University Hospital Zurich Foundation 604, the set ofnavigation instructions may include a maneuver to turn left off route 17at a particular exit or street, whereas on the first route to Haus Hiltl606, the set of navigation instructions may include a maneuver to turnright off route 17 at a particular exit or street or continue straightuntil reaching a further exit or street before turning right.

FIG. 6B illustrates a detailed navigation display 630 including anavigation instruction 632 presented when John approaches Haus Hiltl606. For example, John's client computing device 10 may detect that Johnis approaching Haus Hiltl 606 via the sensors 19. In response todetecting that John is approaching Haus Hiltl 606, the personalized datadisplay 24 may present turn-by-turn navigation instructions toUniversity Hospital Zurich Foundation 604. As shown in the detailednavigation display 630, the navigation instruction 632 is one of a setof navigation instructions presented to John for directing John toUniversity Hospital Zurich Foundation 604. When John completes themaneuver included in the navigation instruction 632, the detailednavigation display 630 presents another navigation instruction (notshown) on the highlighted route 634.

Instead of waiting for the user to arrive at the intermediatedestination before providing turn-by-turn navigation instructions to thefinal destination, the personalized map data generator 68 may identify acommon waypoint along the first and second routes to the intermediatedestination and the final destination, respectively. In someembodiments, when there are multiple common waypoints, the personalizedmap data generator 68 may identify a last common waypoint along thefirst and second routes. For example, when both routes require the userto travel on Highway 1, and the route to the intermediate destinationrequires the user to turn right at exit 40, while the route to the finaldestination requires the user to continue straight until reaching exit45 and then turn right, the personalized map data generator 68 mayidentify exit 40 as the last common waypoint. Then the personalized mapdata generator 68 may provide turn-by-turn navigation instructions fromexit 40 to the final destination, which are presented by thepersonalized data display 24 before the user's client computing devicereaches exit 40, so that the user does not make a right turn beforeviewing the navigation instruction to continue straight until exit 45.

FIG. 6C illustrates a detailed navigation display 660 including anavigation instruction 662 presented when the user approaches a commonwaypoint between the first route to Haus Hiltl 606 and the second routeto University Hospital Zurich Foundation 604. As shown in the detailednavigation display 660, John is traveling south on route 17 based on thefirst navigation instruction 610 presented in the navigation display 600as shown in FIG. 6A to travel toward Haus Hiltl 606. John's clientcomputing device 10 may detect that he is approaching the last commonwaypoint between the first route to Haus Hiltl 606 and the second routeto University Hospital Zurich Foundation 604. In response to detectingthat John is approaching the last common waypoint, the personalized datadisplay 24 may present turn-by-turn navigation instructions toUniversity Hospital Zurich Foundation 604. This includes the navigationinstruction 662 to turn left off of route 17 as opposed to turning rightfor navigating to Haus Hiltl 606.

In some scenarios, the intermediate destination is a familiar locationto the user, but the starting location is unfamiliar. Thus, the usercannot navigate to the intermediate destination without detailedinstructions. In some embodiments, the personalized data display 24 mayprovide a user control for the user to select whether or not to receivenavigation directions that include an intermediate destination. If forexample, the user feels comfortable navigating to a familiarintermediate destination from her current location, the user canrequest, via the user control, to receive navigation directions thatinclude the intermediate destination. If the user does not feelcomfortable navigating from her current location, she can request toreceive turn-by-turn navigation instructions from her current locationto the final destination without an intermediate destination.

In other embodiments, the personalized map data generator 68 determineswhether or not to provide navigation directions that include anintermediate destination. For example, the personalized map datagenerator 68 may determine whether the user's current location or otherstarting location is a familiar location based on her location history.More specifically, if the overall score 262 for the starting location isabove a threshold score, or the starting location is ranked above athreshold ranking based on the overall score 262, frequency score 258,or recency score 260, the personalized map data generator 68 mayidentify an intermediate destination, and provide turn-by-turnnavigation instructions from the intermediate destination to the finaldestination. On the other hand, if the overall score 262 for thestarting location is not above a threshold score, or the startinglocation is not ranked above a threshold ranking based on the overallscore 262, frequency score 258, or recency score 260, the personalizedmap data generator 68 may provide turn-by-turn navigation instructionsfrom the starting location to the final destination without anintermediate destination.

Also in some embodiments, the personalized map data generator 68 mayidentify multiple intermediate destinations on the way to the finaldestination. For example, the personalized map data generator 68 mayprovide a first navigation instruction to travel toward a firstintermediate destination to the user's client computing device 10 forpresentation via the personalized data display 24. The personalized mapdata generator 68 may also provide a second navigation instruction totravel toward a second intermediate destination closer to the finaldestination than the first intermediate destination. Moreover, thepersonalized map data generator 68 may provide navigation directions tothe user's client computing device 10 to the final destination from thesecond intermediate destination or from a waypoint along the route tothe second intermediate destination that is in common with a waypointalong the route to the final destination.

Accordingly, the personalized data display 24 may present the firstnavigation instruction in a navigation display. As the user's clientcomputing device 10 approaches the first intermediate destination or acommon waypoint on the route to the first intermediate destination andto the second intermediate destination, the personalized data display 24may present the second navigation instruction in the navigation display.Then as the user's client computing device 10 approaches the secondintermediate destination or a common waypoint on the route to the secondintermediate destination and to the final destination, the personalizeddata display 24 may present the turn-by-turn navigation instructions tothe final destination in the navigation display. While this exampleincludes two intermediate destinations, this is merely one example forease of illustration only. The personalized map data generator 68 mayidentify any number of intermediate destinations for directing the useron the way to the final destination.

Example Methods for Presenting Personalized Map Data

FIG. 7 illustrates a flow diagram of an example method 700 for providinga personalized landmark on a digital map to locate a geographic searchresult. The method can be implemented in a set of instructions stored ona computer-readable memory and executable at one or more processors ofthe server device 60. For example, the method can be implemented by thepersonalized map data generator 68.

At block 702, location data is obtained for the user for example, fromthe personalized data display 24 operating in the client computingdevice 10. More specifically, the client computing device 10 maytransmit location data to the personalized map data generator 68 whenthe user selects a user control providing permission to the mappingapplication 22 to share the location data. The location data may includethe name or address of a location visited by a user according to acheck-in at the location or positioning data from the sensors 19, thedate and time at which the user visited the location, the amount of timein which the user visited the location, and/or a label for the locationprovided by the user, such as “Bob's House” for 123 Hauptstrasse inZurich, Switzerland. In some embodiments, the personalized data display24 provides location data when the client computing device 10 is at alocation for more than a threshold time period (e.g., 1 minute).

Then at block 704, a location is selected in the mapping application 22operating on the client computing device 10 and received at the serverdevice 60 along with a request for map data for a geographic areasurrounding the selected location. For example, the user maytouch-select a location presented on the map display by the personalizeddata display 24, may touch-select a search suggestion or search resultpresented by the mapping application 22, may input the address or nameof a particular location via user controls at the mapping application22, or may select the location in any other suitable manner.

In response to the request, locations are identified in the user'slocation history as candidate landmarks that are within a thresholddistance of the selected location 302 (e.g., 50 m, 100 m, 200 m, 0.5 km,1 km, etc.) (block 706). Each of the candidate landmarks are scoredaccording to frequency and recency to generate an overall score for thecandidate landmarks, such as the overall scores 262 as shown in FIG. 2B.More specifically, the frequency score may be determined based on thetotal number of times the user has visited the location, the number oftimes the user has visited the location within a threshold time period(e.g., the previous month), the average rate in which the user visitsthe location (e.g., three times per month, twice a year, etc.), or inany other suitable manner. In some embodiments, the personalized mapdata generator 68 may factor the amount of time spent at the locationinto the frequency score, because the user may be more familiar with alocation that she spent significant time in compared with a location sheleft quickly. For example, the frequency score may be determined basedon a weighted number of times the user has visited the location, wherevisits are assigned higher weights the longer the user stays at thelocation.

The recency score may be determined based on the amount of time sincethe user last visited the location or the amount of time since the uservisited the location at a rate above a frequency threshold. For example,if the user previously visited the location once a week for severalmonths but now only visits the location once a year, the recency scoremay be based on the amount of time since the user last visited thelocation once a week. In some embodiments, the personalized map datagenerator 68 may factor the amount of time spent at the location intothe recency score.

The overall score may then be determined based on any suitablecombination of the frequency and recency scores. At block 710, thecandidate landmarks are ranked according to their respective scores, andthe personalized map data generator 68 selects the highest rankingcandidate landmark to present in the map display (block 712).

Then the personalized map data generator 68 provides the map dataincluding an indication of the selected location and an indication ofthe selected landmark to the user's client computing device 10 forpresentation via the personalized data display 24 (block 714). Inresponse, the personalized data display 24 presents a map display of ageographic area including the selected location and the selectedlandmark along with indications of the selected location and theselected landmark, such as pins or other icons representing the selectedlocation and the selected landmark. In some embodiments, thepersonalized map data generator 68 generates a description of therelationship between the selected landmark and the user, such as adescription of the frequency in which the user visited the landmark(e.g., “You come here often”), or a description of the recency in whichthe user visited the landmark (e.g., “You were here last week”). Thepersonalized map data generator 68 then causes the map display to beannotated with the description of the relationship between the selectedlandmark and the user.

FIG. 8 illustrates a flow diagram of an example method 800 for providingsearch suggestions based on familiarity to a user. The method can beimplemented in a set of instructions stored on a computer-readablememory and executable at one or more processors of the server device 60.For example, the method can be implemented by the personalized map datagenerator 68.

At block 802, location data is obtained for the user for example, fromthe personalized data display 24 operating in the client computingdevice 10. More specifically, the client computing device 10 maytransmit location data to the personalized map data generator 68 whenthe user selects a user control providing permission to the mappingapplication 22 to share the location data. The location data may includethe name or address of a location visited by a user according to acheck-in at the location or positioning data from the sensors 19, thedate and time at which the user visited the location, the amount of timein which the user visited the location, and/or a label for the locationprovided by the user, such as “Bob's House” for 123 Hauptstrasse inZurich, Switzerland. In some embodiments, the personalized data display24 provides location data when the client computing device 10 is at alocation for more than a threshold time period (e.g., 1 minute).

Then at block 804, a geographic search query is received which may be apartial geographic search query. For example, the personalized datadisplay 24 may receive the user input, “café,” and provide the userinput to the server device 60. Accordingly, the server device 60communicates with the map data server 50 or another suitable server toretrieve geographic search results/suggestions relevant to thegeographic search query (block 806). In some embodiments, each of theretrieved geographic search results/suggestions are within a thresholddistance of the user's current location or within a threshold distanceof the geographic area presented on the map display of the user's clientcomputing device 10.

In any event, the server device 60 may obtain the geographic searchresults/suggestions in a ranked order along with relevancy scores foreach of the geographic search results/suggestions. In some embodiments,the personalized map data generator 68 adjusts the scoring/ranking ofthe search results/suggestions for example, by boosting the rankings ofsearch results/suggestions for locations that have previously beenvisited by the user (block 808). More specifically, in addition to therelevancy scores, the personalized map data generator 68 obtainsfrequency scores 258, recency scores 260, and/or overall scores 262(e.g., from the data table 250 depicted in FIG. 2B) for locationspreviously visited by the user. For locations that have not beenpreviously visited by the user, the personalized map data generator 68may assign a default overall score of 0 to the locations or anotherdefault score. In any event, for each search result/suggestion, thepersonalized map data generator 68 combines the relevancy score and theoverall scores 262 to generate a boosted search result score. Thepersonalized map data generator 68 then re-ranks the searchresults/suggestions according to the boosted search result scores, andprovides the re-ranked search results/suggestions to the user's clientcomputing device 10 for presentation via the personalized data display24 (block 810).

In addition to re-ranking the search results/suggestions, thepersonalized map data generator 68 annotates the searchresults/suggestions for locations included in the user's locationhistory with a description of the relationship between the location andthe user, such as a description of the frequency in which the uservisited the location (e.g., “You come here often”), or a description ofthe recency in which the user visited the location (e.g., “You were herelast week”). The annotations are then provided to the user's clientcomputing device 10 for presentation with the corresponding searchresults/suggestions via the personalized data display 24 (block 812).

FIG. 9 illustrates a flow diagram of an example method 900 for providingnavigation directions using personalized landmarks. The method can beimplemented in a set of instructions stored on a computer-readablememory and executable at one or more processors of the server device 60.For example, the method can be implemented by the personalized map datagenerator 68.

At block 902, location data is obtained for the user for example, fromthe personalized data display 24 operating in the client computingdevice 10. More specifically, the client computing device 10 maytransmit location data to the personalized map data generator 68 whenthe user selects a user control providing permission to the mappingapplication 22 to share the location data. The location data may includethe name or address of a location visited by a user according to acheck-in at the location or positioning data from the sensors 19, thedate and time at which the user visited the location, the amount of timein which the user visited the location, and/or a label for the locationprovided by the user, such as “Bob's House” for 123 Hauptstrasse inZurich, Switzerland. In some embodiments, the personalized data display24 provides location data when the client computing device 10 is at alocation for more than a threshold time period (e.g., 1 minute).

Then at block 904, a request is received for navigation directions froma starting location to a destination location. For example, the requestmay be transmitted from the client computing device 10 to the serverdevice in response to user input provided at the client computing device10. At block 906, a set of navigation instructions to the destinationlocation may be generated, where each navigation instruction includes amaneuver at a particular waypoint along the route. In some embodiments,to generate the set of navigation instructions, the server device 60forwards the request to the navigation data server 34 for navigationdirections from the starting location to the destination location.

In response to receiving a set of navigation instructions from thenavigation data server 34, the personalized map data generator 68replaces default navigation instructions with navigation instructionsthat include landmarks familiar to the user. More specifically,locations are identified in the user's location history as candidatelandmarks that are within a threshold distance of each waypoint in theset of navigation instructions (e.g., 50 m, 100 m, 200 m, 0.5 km, 1 km,etc.) (block 908). Then for each maneuver, the corresponding candidatelandmarks are scored according to frequency and/or recency to generatean overall score for the candidate landmarks, such as the overall scores262 as shown in FIG. 2B. More specifically, the frequency score may bedetermined based on the total number of times the user has visited thecandidate landmark, the number of times the user has visited thecandidate landmark within a threshold time period (e.g., the previousmonth), the average rate in which the user visits the candidate landmark(e.g., three times per month, twice a year, etc.), or in any othersuitable manner. In some embodiments, the personalized map datagenerator 68 may factor the amount of time spent at the candidatelandmark into the frequency score. For example, the frequency score maybe determined based on a weighted number of times the user has visitedthe candidate landmark, where visits are assigned higher weights thelonger the user stays at the candidate landmark.

The recency score may be determined based on the amount of time sincethe user last visited the candidate landmark or the amount of time sincethe user visited the candidate landmark at a rate above a frequencythreshold. For example, if the user previously visited the candidatelandmark once a week for several months but now only visits thecandidate landmark once a year, the recency score may be based on theamount of time since the user last visited the candidate landmark once aweek. In some embodiments, the personalized map data generator 68 mayfactor the amount of time spent at the candidate landmark into therecency score. The overall score may then be determined based on anysuitable combination of the frequency and recency scores (block 910).This process is then repeated for each maneuver in the set of navigationinstructions (block 912).

Then the personalized map data generator 68 obtains the overall scoresfor the candidate landmarks and ranks the candidate landmarks accordingto the overall scores (block 914). In some embodiments, when a candidatelandmark is ranked above a threshold ranking or has a score above athreshold score, the personalized map data generator 68 selects thecandidate landmark to include in the navigation instruction for thecorresponding maneuver (block 916). In other embodiments, for eachwaypoint, the personalized map data generator 68 identifies candidatelandmarks within a threshold distance of the particular waypoint, ranksthe candidate landmarks corresponding to the particular waypoint, andselects the highest ranking candidate landmark for the particularwaypoint to include in the navigation instruction.

In some scenarios, the personalized map data generator 68 only selectsthe highest ranking candidate landmark for the particular waypoint toinclude in the navigation instruction when the highest ranking candidatelandmark has a minimum score above a threshold score. Otherwise, thepersonalized map data generator 68 uses the default navigationinstruction, such as “Turn right onto Main St.” In other scenarios, thepersonalized map data generator 68 selects a maximum threshold number oflandmarks to include in the navigation instructions (e.g., 3).Accordingly, the personalized map data generator 68 selects the highestranking candidate landmarks for different waypoints not to exceed themaximum threshold number.

The set of personalized navigation instructions are then provided to theuser's client computing device 10 (block 918), and the personalized datadisplay 24 presents the navigation display 500 on a user interface 32 ofthe client computing device 10.

FIG. 10 illustrates a flow diagram of an example method 1000 forproviding navigation directions using a familiar location to a user asan intermediate destination. The method can be implemented in a set ofinstructions stored on a computer-readable memory and executable at oneor more processors of the server device 60. For example, the method canbe implemented by the personalized map data generator 68.

At block 1002, location data is obtained for the user for example, fromthe personalized data display 24 operating in the client computingdevice 10. More specifically, the client computing device 10 maytransmit location data to the personalized map data generator 68 whenthe user selects a user control providing permission to the mappingapplication 22 to share the location data. The location data may includethe name or address of a location visited by a user according to acheck-in at the location or positioning data from the sensors 19, thedate and time at which the user visited the location, the amount of timein which the user visited the location, and/or a label for the locationprovided by the user, such as “Bob's House” for 123 Hauptstrasse inZurich, Switzerland. In some embodiments, the personalized data display24 provides location data when the client computing device 10 is at alocation for more than a threshold time period (e.g., 1 minute).

Then at block 1004, a request is received for navigation directions froma starting location to a final destination location. For example, therequest may be transmitted from the client computing device 10 to theserver device 60 in response to user input provided at the clientcomputing device 10. At block 1006, a first set of navigationinstructions to the final destination location may be generated, whereeach navigation instruction includes a maneuver at a particular waypointalong the route. In some embodiments, to generate the first set ofnavigation instructions, the server device 60 forwards the request tothe navigation data server 34 for navigation directions from thestarting location to the final destination location.

The personalized map data generator 68 then identifies locations in theuser's location history as candidate intermediate destination locationsthat are within a threshold distance of the final destination location,within a threshold distance of one of the waypoints on the first routefrom the starting location to the final destination location, or wherethere is a common waypoint along a second route from the startinglocation to the candidate intermediate destination with one of thewaypoints along the first route (block 1008).

Then the candidate intermediate destinations are scored according tofrequency and recency to generate an overall score for the candidatelandmarks, such as the overall scores 262 as shown in FIG. 2B. Morespecifically, the frequency score may be determined based on the totalnumber of times the user has visited the candidate landmark, the numberof times the user has visited the candidate landmark within a thresholdtime period (e.g., the previous month), the average rate in which theuser visits the candidate landmark (e.g., three times per month, twice ayear, etc.), or in any other suitable manner. In some embodiments, thepersonalized map data generator 68 may factor the amount of time spentat the candidate landmark into the frequency score. For example, thefrequency score may be determined based on a weighted number of timesthe user has visited the candidate landmark, where visits are assignedhigher weights the longer the user stays at the candidate landmark.

The recency score may be determined based on the amount of time sincethe user last visited the candidate landmark or the amount of time sincethe user visited the candidate landmark at a rate above a frequencythreshold. For example, if the user previously visited the candidatelandmark once a week for several months but now only visits thecandidate landmark once a year, the recency score may be based on theamount of time since the user last visited the candidate landmark once aweek. In some embodiments, the personalized map data generator 68 mayfactor the amount of time spent at the candidate landmark into therecency score.

The candidate intermediate destinations may also be scored according toa distance score based on the distance from the candidate intermediatedestination to the final destination, the distance to the finaldestination from the common waypoint along the route to the candidateintermediate destination, and/or a distance to the candidateintermediate destination from the nearest waypoint along the route fromthe starting location to the final destination. The personalized mapdata generator 68 combines the frequency 258, recency 260, and distancescores in any suitable manner to generate an intermediate destinationscore (block 1010). Then the personalized map data generator 68 ranksthe candidate intermediate destinations according to the intermediatedestination score (block 1012), and selects the highest rankingcandidate intermediate destination (block 1014).

Accordingly, the personalized map data generator 68 provides a firstnavigation instruction for the user to travel to the selectedintermediate destination to the user's client computing device 10 forpresentation via the personalized data display 24 (block 1016). Thefirst navigation instruction advantageously can omit specific steps suchas “head south on Elm St.,” “turn left onto Main St.,” etc. Instead, thefirst navigation instruction can be simply “start driving toward theMusic Box Theater,” even if the intermediate destination, the Music BoxTheater, is multiple maneuvers away from the current location. In someimplementations, the first navigation instruction also mentions thepoint of divergence between the route to the intermediate destinationand the final destination, e.g., “start driving toward the Music BoxTheater but do not turn on Southport and continue straight.” Thepersonalized map data generator 68 also may obtain navigation directionsto the final destination from the selected intermediate destination orfrom a waypoint along the route to the selected intermediate destinationthat is in common with a waypoint along the route to the finaldestination. Then the personalized map data generator 68 provides thenavigation directions to the final destination to the user's clientcomputing device 10 (block 1018). In turn, the personalized data display24 presents the navigation directions to the final destination inresponse to determining, via the sensors 19, that the client computingdevice 10 is approaching the selected intermediate destination or thecommon waypoint along the route to the selected intermediatedestination.

ADDITIONAL CONSIDERATIONS

The following additional considerations apply to the foregoingdiscussion. Throughout this specification, plural instances mayimplement components, operations, or structures described as a singleinstance. Although individual operations of one or more methods areillustrated and described as separate operations, one or more of theindividual operations may be performed concurrently, and nothingrequires that the operations be performed in the order illustrated.Structures and functionality presented as separate components in exampleconfigurations may be implemented as a combined structure or component.Similarly, structures and functionality presented as a single componentmay be implemented as separate components. These and other variations,modifications, additions, and improvements fall within the scope of thesubject matter of the present disclosure.

Additionally, certain embodiments are described herein as includinglogic or a number of components, modules, or mechanisms. Modules mayconstitute either software modules (e.g., code stored on amachine-readable medium) or hardware modules. A hardware module istangible unit capable of performing certain operations and may beconfigured or arranged in a certain manner. In example embodiments, oneor more computer systems (e.g., a standalone, client or server computersystem) or one or more hardware modules of a computer system (e.g., aprocessor or a group of processors) may be configured by software (e.g.,an application or application portion) as a hardware module thatoperates to perform certain operations as described herein.

In various embodiments, a hardware module may be implementedmechanically or electronically. For example, a hardware module maycomprise dedicated circuitry or logic that is permanently configured(e.g., as a special-purpose processor, such as a field programmable gatearray (FPGA) or an application-specific integrated circuit (ASIC)) toperform certain operations. A hardware module may also compriseprogrammable logic or circuitry (e.g., as encompassed within ageneral-purpose processor or other programmable processor) that istemporarily configured by software to perform certain operations. Itwill be appreciated that the decision to implement a hardware modulemechanically, in dedicated and permanently configured circuitry, or intemporarily configured circuitry (e.g., configured by software) may bedriven by cost and time considerations.

Accordingly, the term hardware should be understood to encompass atangible entity, be that an entity that is physically constructed,permanently configured (e.g., hardwired), or temporarily configured(e.g., programmed) to operate in a certain manner or to perform certainoperations described herein. As used herein “hardware-implementedmodule” refers to a hardware module. Considering embodiments in whichhardware modules are temporarily configured (e.g., programmed), each ofthe hardware modules need not be configured or instantiated at any oneinstance in time. For example, where the hardware modules comprise ageneral-purpose processor configured using software, the general-purposeprocessor may be configured as respective different hardware modules atdifferent times. Software may accordingly configure a processor, forexample, to constitute a particular hardware module at one instance oftime and to constitute a different hardware module at a differentinstance of time.

Hardware modules can provide information to, and receive informationfrom, other hardware. Accordingly, the described hardware modules may beregarded as being communicatively coupled. Where multiple of suchhardware modules exist contemporaneously, communications may be achievedthrough signal transmission (e.g., over appropriate circuits and buses)that connect the hardware modules. In embodiments in which multiplehardware modules are configured or instantiated at different times,communications between such hardware modules may be achieved, forexample, through the storage and retrieval of information in memorystructures to which the multiple hardware modules have access. Forexample, one hardware module may perform an operation and store theoutput of that operation in a memory device to which it iscommunicatively coupled. A further hardware module may then, at a latertime, access the memory device to retrieve and process the storedoutput. Hardware modules may also initiate communications with input oroutput devices, and can operate on a resource (e.g., a collection ofinformation).

The methods 700, 800, 900, and 1000 may include one or more functionblocks, modules, individual functions or routines in the form oftangible computer-executable instructions that are stored in anon-transitory computer-readable storage medium and executed using aprocessor of a computing device (e.g., a server device, a personalcomputer, a smart phone, a tablet computer, a smart watch, a mobilecomputing device, or other client computing device, as describedherein). The methods 700, 800, 900, and 1000 may be included as part ofany backend server (e.g., a map data server, a navigation server, or anyother type of server computing device, as described herein), clientcomputing device modules of the example environment, for example, or aspart of a module that is external to such an environment. Though thefigures may be described with reference to the other figures for ease ofexplanation, the methods 700, 800, 900, and 1000 can be utilized withother objects and user interfaces. Furthermore, although the explanationabove describes steps of the methods 700, 800, 900, and 1000 beingperformed by specific devices (such as a server device 60), this is donefor illustration purposes only. The blocks of the methods 700, 800, 900,and 1000 may be performed by one or more devices or other parts of theenvironment.

The various operations of example methods described herein may beperformed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implemented modulesthat operate to perform one or more operations or functions. The modulesreferred to herein may, in some example embodiments, compriseprocessor-implemented modules.

Similarly, the methods or routines described herein may be at leastpartially processor-implemented. For example, at least some of theoperations of a method may be performed by one or more processors orprocessor-implemented hardware modules. The performance of certain ofthe operations may be distributed among the one or more processors, notonly residing within a single machine, but deployed across a number ofmachines. In some example embodiments, the processor or processors maybe located in a single location (e.g., within a home environment, anoffice environment or as a server farm), while in other embodiments theprocessors may be distributed across a number of locations.

The one or more processors may also operate to support performance ofthe relevant operations in a “cloud computing” environment or as anSaaS. For example, as indicated above, at least some of the operationsmay be performed by a group of computers (as examples of machinesincluding processors), these operations being accessible via a network(e.g., the Internet) and via one or more appropriate interfaces (e.g.,APIs).

Still further, the figures depict some embodiments of the exampleenvironment for purposes of illustration only. One skilled in the artwill readily recognize from the following discussion that alternativeembodiments of the structures and methods illustrated herein may beemployed without departing from the principles described herein.

Upon reading this disclosure, those of skill in the art will appreciatestill additional alternative structural and functional designs forproviding personalized map data through the disclosed principles herein.Thus, while particular embodiments and applications have beenillustrated and described, it is to be understood that the disclosedembodiments are not limited to the precise construction and componentsdisclosed herein. Various modifications, changes and variations, whichwill be apparent to those skilled in the art, may be made in thearrangement, operation and details of the method and apparatus disclosedherein without departing from the spirit and scope defined in theappended claims.

What is claimed is:
 1. A method for providing navigation directionsusing a familiar location to a user as an intermediate destination, themethod comprising: receiving, at one or more processors, a request fornavigation directions for a user from a starting location to a finaldestination location; identifying, by the one or more processors, anintermediate destination location selected based on familiarity to theuser; providing, by the one or more processors via a user interface, asingle navigation instruction directing the user to travel toward theintermediate destination location, wherein a route toward theintermediate destination location is a first route; identifying, by theone or more processors, a plurality of waypoints along the first route,wherein each of the plurality of waypoints intersects with one or morecandidate second routes from the starting location to the finaldestination; identifying, by the one or more processors, a last waypointof the plurality of waypoints and a second route of the one or morecandidate second routes, wherein the second route intersects with thefirst route at the last waypoint; and in response to determining, viaone or more sensors comprising at least one Global Positioning Service(GPS) module, that the user has reached the last waypoint beforereaching the intermediate destination location, wherein the intermediatedestination location is located on a path distinct from the secondroute, providing, by the one or more processors via the user interface,a set of navigation instructions which direct the user from the lastwaypoint to the final destination location.
 2. The method of claim 1,wherein identifying an intermediate destination location includes:identifying, by the one or more processors, an intermediate destinationlocation within a threshold distance of one of particular waypointscorresponding to a maneuver on the second route.
 3. The method of claim1, wherein identifying an intermediate destination location selectedbased on familiarity to the user includes: identifying, by the one ormore processors, a plurality of candidate intermediate destinationlocations based on familiarity to the user; ranking, by the one or moreprocessors, each of the plurality of candidate intermediate destinationlocations according to at least one of: a level of familiarity to theuser, a distance to the candidate intermediate destination location froma nearest waypoint along the second route from the starting location tothe final destination location, or a distance from the candidateintermediate destination location to the final destination location; andselecting, by the one or more processors, a highest ranking candidateintermediate destination location as the intermediate destinationlocation.
 4. The method of claim 1, wherein identifying an intermediatedestination location selected based on familiarity to the user includes:obtaining, by the one or more processors, a location history for theuser; determining, by the one or more processors, a frequency in whichthe user has visited the intermediate destination location or an amountof time since the user most recently visited the intermediatedestination location based on the location history; identifying, by theone or more processors, the intermediate destination location inresponse to determining that the frequency in which the user has visitedthe intermediate destination location exceeds a threshold frequency orthe amount of time since the user most recently visited the intermediatedestination location is less than a threshold amount of time.
 5. Themethod of claim 1, wherein the single navigation instruction is a firstnavigation instruction and wherein providing, by the one or moreprocessors, a set of navigation instructions which direct the user tothe final destination location comprises: identifying, by the one ormore processors, a further intermediate destination location selectedbased on familiarity to the user; providing, by the one or moreprocessors, a second navigation instruction directing the user to traveltoward the further intermediate destination location; and in response todetermining that the user is approaching the further intermediatedestination location or at a further waypoint along a route toward thefurther intermediate destination location, providing, by the one or moreprocessors, a set of navigation instructions which direct the user tothe final destination location.
 6. A computing device for providingnavigation directions using a familiar location to a user as anintermediate destination, the computing device comprising: one or moreprocessors; and a non-transitory computer-readable memory coupled to theone or more processors and storing instructions thereon that, whenexecuted by the one or more processors, cause the computing device to:receive a request for navigation directions for a user from a startinglocation to a final destination location; identify an intermediatedestination location selected based on familiarity to the user; provide,via a user interface, a single navigation instruction directing the userto travel toward the intermediate destination location, wherein a routetoward the intermediate destination location is a first route; identifya plurality of waypoints along the first route, wherein each of theplurality of waypoints intersects with one or more candidate secondroutes from the starting location to the final destination; identify alast waypoint of the plurality of waypoints and a second route of theone or more candidate second routes, wherein the second route intersectswith the first route at the last waypoint; and in response todetermining, via one or more sensors comprising at least one GlobalPositioning Service (GPS) module, that the user has reached the lastwaypoint before reaching the intermediate destination location, whereinthe intermediate destination location is located on a path distinct fromthe second route, provide, via the user interface, a set of navigationinstructions which direct the user from the last waypoint to the finaldestination location.
 7. The computing device of claim 6, wherein theintermediate destination location is within a threshold distance of oneof particular waypoints corresponding to a maneuver on the second route.8. The computing device of claim 6, wherein to identify the intermediatedestination location, the instructions cause the computing device to:identify a plurality of candidate intermediate destination locationsbased on familiarity to the user; rank each of the plurality ofcandidate intermediate destination locations according to at least oneof: a level of familiarity to the user, a distance to the candidateintermediate destination location from a nearest waypoint along thesecond route from the starting location to the final destinationlocation, or a distance from the candidate intermediate destinationlocation to the final destination location; and select a highest rankingcandidate intermediate destination location as the intermediatedestination location.
 9. A non-transitory computer-readable mediumstoring instructions for providing navigation directions using afamiliar location to a user as an intermediate destination that, whenexecuted by one or more processors in a computing device, cause the oneor more processors to: receive a request for navigation directions for auser from a starting location to a final destination location; identifyan intermediate destination location selected based on familiarity tothe user; provide, via a user interface, a single navigation instructiondirecting the user to travel toward the intermediate destinationlocation, wherein a route toward the intermediate destination locationis a first route; identify a plurality of waypoints along the firstroute, wherein each of the plurality of waypoints intersects with thefirst route and one or more candidate second routes from the startinglocation to the final destination; identify a last waypoint of theplurality of waypoints and a second route of the one or more candidatesecond routes, wherein the second route intersects with the first routeat the last waypoint; and in response to determining, via one or moresensors comprising at least one Global Positioning Service (GPS) module,that the user has reached the last waypoint before reaching theintermediate destination location, wherein the intermediate destinationlocation is located on a path distinct from the second route, provide,via the user interface, a set of navigation instructions which directthe user from the last waypoint to the final destination location.